51 to 75 of 7,698 SQL Jobs

innovation through evaluation and adoption of emerging technologies. Support production deployments, troubleshoot complex issues, and maintain system reliability. Skills & Experience Essential: Strong experience in C# , ASP.NET , MVC , and MS SQL Server (T-SQL) . Proven track record in XML development and Web API/SOA architecture . Experience working with insurance pricing tools (ideally Rulebook or Hyperexponential) . Excellent analytical More ❯

innovation through evaluation and adoption of emerging technologies. Support production deployments, troubleshoot complex issues, and maintain system reliability. Skills & Experience Essential: Strong experience in C# , ASP.NET , MVC , and MS SQL Server (T-SQL) . Proven track record in XML development and Web API/SOA architecture . Experience working with insurance pricing tools (ideally Rulebook or Hyperexponential) . Excellent analytical More ❯

innovation through evaluation and adoption of emerging technologies. Support production deployments, troubleshoot complex issues, and maintain system reliability. Skills & Experience Essential: Strong experience in C# , ASP.NET , MVC , and MS SQL Server (T-SQL) . Proven track record in XML development and Web API/SOA architecture . Experience working with insurance pricing tools (ideally Rulebook or Hyperexponential) . Excellent analytical More ❯

Personal Skills Stakeholder Management Project Management Agile Methodologies Automation Data Stewardship Data Visualization and Analysis Core Technical Skills SAS Skills : Base SAS, SAS Macros, SAS EG, SAS DI, SAS SQL, SAS VA, SAS BI Other Tools : Jira, Python, R, SQL Cloud Technology Awareness Desirable Skills Familiarity with additional tools such as Python, R, IBM Watson, and Power BI. Understanding of More ❯

organise and produce work within deadlines. Skills - Good project and people management skills. - Excellent data development skills. - Excellent data manipulation and analysis skills using a variety of tools including SQL, Phyton, AWS services and the MSBI stack. - Ability to prioritise and be flexible to change those priorities at short notice. - Commercial acumen. - Able to demonstrate a practical approach to problem … design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. - Experience is building Data lake and building CI/CD data pipelines - A candidate is expected to understand and can demonstrate experience across the delivery lifecycle and understand both More ❯

or other professional environments that require continuous learning and regular communication of complex or challenging subject matter to business stakeholders. Skills: Expertise in: Microsoft Office Suite; database querying using SQL; and data analysis tools, including SQL, DAX, and Excel. Statistical analysis tools such as R or Python Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/ More ❯

Python.Expertise in Python frameworks such as Django, Flask, or FastAPI.Strong understanding of object-oriented programming (OOP) and design patterns.Proficiency in RESTful API development and microservices architecture.Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.Strong knowledge of Linux/Unix environments and scripting.Familiarity with containerization and orchestration tools (Docker, KubernetesExperience with cloud platforms (AWS, Azure, or GCPUnderstanding of More ❯

years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

years' experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

identify opportunities for improving data quality, reliability, automation, and reusability Experience & Skills Required We're looking for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders More ❯

identify opportunities for improving data quality, reliability, automation, and reusability Experience & Skills Required We're looking for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders More ❯

JOB TITLE: Senior SQL Developer JOB LOCATION: Jamaica Plain, MA WAGE RANGE : $75-$80 JOB NUMBER: ITS77-EHS-FY26-APP DEV - 009 - LAB REQUIRED EXPERIENCE: Bachelor's degree in computer science, Computer Information Systems, Information Management or related field or equivalent work experience. Ability to drive complex system integration projects and transition businesses to new application platforms. Minimum 5 years … of experience in an Application Lead role. Experience in: SDLC Solution assessment and validation. Technical Requirements/Specifications Development and Management. 8+ years of professional experience doing Microsoft SQL Server (2008, 2012 or greater) database management & database administration. Expertise with relational database design, capacity planning, security, and other distributed data issues. 5+ years of experience with T-SQL and PowerShell … Scripts, ETL is required. Strong working knowledge of query, index and DB I/O performance tuning, and Stored Procedures and SQL coding is required. Ability to manage all DB maintenance plan activities including backups, indexing, integrity and consistency checks, etc. Troubleshooting and resolving database blocking and deadlocking issues, replication issues, log shipping issues, connectivity issues, security issues, Data issues More ❯

Agile delivery by contributing to backlog grooming, sprint planning, and story refinement. Required Skills & Experience: • Strong experience in data analysis, data reconciliation, and data testing. • Hands-on experience with SQL and at least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to More ❯

Agile delivery by contributing to backlog grooming, sprint planning, and story refinement. Required Skills & Experience: • Strong experience in data analysis, data reconciliation, and data testing. • Hands-on experience with SQL and at least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to More ❯

Agile delivery by contributing to backlog grooming, sprint planning, and story refinement. Required Skills & Experience: • Strong experience in data analysis, data reconciliation, and data testing. • Hands-on experience with SQL and at least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to More ❯

Agile delivery by contributing to backlog grooming, sprint planning, and story refinement. Required Skills & Experience: • Strong experience in data analysis, data reconciliation, and data testing. • Hands-on experience with SQL and at least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to More ❯

Agile delivery by contributing to backlog grooming, sprint planning, and story refinement. Required Skills & Experience: • Strong experience in data analysis, data reconciliation, and data testing. • Hands-on experience with SQL and at least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Business & Consulting Skills Strong ability to gather requirements and translate them More ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Business & Consulting Skills Strong ability to gather requirements and translate them More ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Business & Consulting Skills Strong ability to gather requirements and translate them More ❯